Student Travel Fellowships to Attend the 2nd Workshop on Resource Discovery

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The second workshop on Resource Discovery (RED) is co-located withthe 35th International Conference on Very Large Data Bases (VLDB)on August 28, 2009, in Lyon, France. This project provides travel fellowships to students enrolled in US universities in order to attend the workshop.The workshop is concerned with the design and development of models and prototypes that support the representation of resources, the discovery of resources on the Web, the identification, localisation, and composition of resources. A resource corresponds to an information source such as a data repository or database management system (e.g., a query form or a textual search engine), a link between resources (an index or hyperlink), or a service such as an application or tool. Resources are characterized by core information including a name, a description of its input and its output (parameters or format), its address, and various additional properties expressed as metadata. Resource discovery is the process of identifying and locating existing resources that have a particular property. Machine-based resource discovery relies on crawling, clustering, and classifying resources discovered on the Web automatically. Resources are organized with respect to metadata that characterize their content (for data sources), their semantics (in terms of ontological classes and relationships), their characteristics (syntactical properties), their performance (with metrics and benchmarks), their quality (curation, reliability, trust), etc. Resource discovery systems allow the expression of queries to identify and locate resources that implement specific tasks. For further information see the project web page at: http://bioinformatics.eas.asu.edu/RED/red2009.html